/**
* Copyright (C) 2010-2017 Gordon Fraser, Andrea Arcuri and EvoSuite
* contributors
*
* This file is part of EvoSuite.
*
* EvoSuite is free software: you can redistribute it and/or modify it
* under the terms of the GNU Lesser General Public License as published
* by the Free Software Foundation, either version 3.0 of the License, or
* (at your option) any later version.
*
* EvoSuite is distributed in the hope that it will be useful, but
* WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Lesser Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* License along with EvoSuite. If not, see <http://www.gnu.org/licenses/>.
*/
package org.evosuite.mock.java.io;
import org.evosuite.EvoSuite;
import org.evosuite.Properties;
import org.evosuite.SystemTestBase;
import org.evosuite.ga.metaheuristics.GeneticAlgorithm;
import org.evosuite.strategy.TestGenerationStrategy;
import org.evosuite.testsuite.TestSuiteChromosome;
import org.junit.After;
import org.junit.Assert;
import org.junit.Test;
import com.examples.with.different.packagename.mock.java.io.CreateNewTmpFile;
import com.examples.with.different.packagename.mock.java.io.FileAsInputExist;
import com.examples.with.different.packagename.mock.java.io.FileExist;
import com.examples.with.different.packagename.mock.java.io.ReadHelloWorldFromFileWithNameAsInput;
public class MockFileSystemTest extends SystemTestBase {
private static final boolean VFS = Properties.VIRTUAL_FS;
private static final double defaultPoolP = Properties.SEED_CLONE;
@After
public void restoreProperties(){
Properties.VIRTUAL_FS = VFS;
Properties.SEED_CLONE = defaultPoolP;
}
@Test
public void testCreateNewTmpFile() {
EvoSuite evosuite = new EvoSuite();
String targetClass = CreateNewTmpFile.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
Properties.SEARCH_BUDGET = 20000;
Properties.VIRTUAL_FS = true;
String[] command = new String[] { "-generateSuite", "-class", targetClass };
Object result = evosuite.parseCommandLine(command);
Assert.assertTrue(result != null);
GeneticAlgorithm<?> ga = getGAFromResult(result);
TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
System.out.println("EvolvedTestSuite:\n" + best);
int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function
Assert.assertEquals("Wrong number of goals: ", 3, goals);
Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001);
}
@Test
public void testFileAsInputExist() {
EvoSuite evosuite = new EvoSuite();
String targetClass = FileAsInputExist.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
Properties.SEARCH_BUDGET = 20000;
Properties.VIRTUAL_FS = true;
String[] command = new String[] { "-generateSuite", "-class", targetClass };
Object result = evosuite.parseCommandLine(command);
Assert.assertTrue(result != null);
GeneticAlgorithm<?> ga = getGAFromResult(result);
TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
System.out.println("EvolvedTestSuite:\n" + best);
int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function
Assert.assertEquals("Wrong number of goals: ", 3, goals);
Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001);
}
@Test
public void testFileExist() {
EvoSuite evosuite = new EvoSuite();
String targetClass = FileExist.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
Properties.SEARCH_BUDGET = 20000;
Properties.VIRTUAL_FS = true;
String[] command = new String[] { "-generateSuite", "-class", targetClass };
Object result = evosuite.parseCommandLine(command);
Assert.assertTrue(result != null);
GeneticAlgorithm<?> ga = getGAFromResult(result);
TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
System.out.println("EvolvedTestSuite:\n" + best);
int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function
Assert.assertEquals("Wrong number of goals: ", 3, goals);
Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001);
}
@Test
public void testReadHelloWorldFromFileWithNameAsInput() {
EvoSuite evosuite = new EvoSuite();
String targetClass = ReadHelloWorldFromFileWithNameAsInput.class.getCanonicalName();
Properties.TARGET_CLASS = targetClass;
Properties.SEARCH_BUDGET = 30000;
Properties.VIRTUAL_FS = true;
Properties.SEED_CLONE = 0.5;
String[] command = new String[] { "-generateSuite", "-class", targetClass };
Object result = evosuite.parseCommandLine(command);
Assert.assertTrue(result != null);
GeneticAlgorithm<?> ga = getGAFromResult(result);
TestSuiteChromosome best = (TestSuiteChromosome) ga.getBestIndividual();
System.out.println("EvolvedTestSuite:\n" + best);
int goals = TestGenerationStrategy.getFitnessFactories().get(0).getCoverageGoals().size(); // assuming single fitness function
Assert.assertEquals("Wrong number of goals: ", 5, goals);
//Assert.assertEquals("Non-optimal coverage: ", 1d, best.getCoverage(), 0.001);
/*
* the SUT is not so trivial. often we get 100%, but not always.
* maybe we could always get 100% with an easier string and LS on
*/
Assert.assertTrue("Coverage: "+best.getCoverage(), best.getCoverage() >= 0.8);
}
}